Artificial intelligence (AI) is increasingly integrated in public health for disease surveillance, behavioral interventions, risk communication, and population health management. However, fragmented oversight and limited equity safeguards can allow AI systems to reinforce existing disparities and create new risks for marginalized populations. A recent analytical essay examines these challenges and outlines strategies for responsible AI use, including equity assessments, community-based validation, transparency, data sovereignty, and human oversight. 

As our world continues to warm, a multidisciplinary group of researchers from the University of Exeter and the UK Health Security Agency encourage consideration of potential interactions between urban green spaces, vector-borne diseases, and climate change as we work to increase public health benefits and reduce risks.

Legionnaire's disease incidence has risen significantly in the U.S. over the last two decades, with warming temperatures, precipitation, sunlight levels, and road traffic exposure to the soil-dwelling Legionella bacteria likely driving this increase.